Texas Rangers vs Baltimore Orioles
Starting pitchers
Lineups
- 1 Brandon Nimmo RF
- 2 Wyatt Langford LF
- 3 Corey Seager SS
- 4 Jake Burger 1B
- 5 Joc Pederson DH
- 6 Josh Smith 2B
- 7 Josh Jung 3B
- 8 Evan Carter CF
- 9 Kyle Higashioka C
- 1 Taylor Ward LF
- 2 Gunnar Henderson SS
- 3 Pete Alonso 1B
- 4 Adley Rutschman C
- 5 Tyler O'Neill DH
- 6 Dylan Beavers RF
- 7 Coby Mayo 3B
- 8 Colton Cowser CF
- 9 Blaze Alexander 2B
Box score
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | R | |
|---|---|---|---|---|---|---|---|---|---|---|
| TEX | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 |
| BAL | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 |
Manager comparison
Both managers grade B- / C+ entering this matchup.
Recent form
Tactical analysis
RunsLeft separates manager decisions from player execution from game variance. Each card below is the same three-number framework that drives the share cards on the SPA replay page.
- Manager lineup cost −0.04 R/G Optimal arrangement projects 4.77 vs actual lineup 4.82
- Player execution +0.18 R/G Players exceeded the lineup's 4.82 projection by 0.18 (scored 5)
- Game variance +0.23 R/G Total game outcome vs optimal expectation
Seager 0-for-3 batting 3rd
- Manager lineup cost −0.03 R/G Optimal arrangement projects 4.92 vs actual lineup 4.95
- Player execution −2.95 R/G Players fell 2.95 short of the lineup's 4.95 projection (scored 2)
- Game variance −2.92 R/G Total game outcome vs optimal expectation
Lineup spots out of order vs season production
Optimal lineups projected 4.8 – 4.9 — actual was 5 – 2.
Keep reading
How RunsLeft analyzes games
Standard content on this page comes from the MLB Stats API. Tactical analysis comes from a per-game Monte Carlo: 10,000 simulated games against the opposing starter's ERA, both for the actual lineup the manager wrote and for the optimal arrangement of those nine players. The three numbers — manager cost, player execution, game variance — separate which part of the result was the lineup, the players, or the dice.